Fangzhen Lin

3.9k total citations · 1 hit paper
96 papers, 1.9k citations indexed

About

Fangzhen Lin is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Fangzhen Lin has authored 96 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Artificial Intelligence, 23 papers in Computational Theory and Mathematics and 10 papers in Management Science and Operations Research. Recurrent topics in Fangzhen Lin's work include Logic, Reasoning, and Knowledge (64 papers), Logic, programming, and type systems (35 papers) and Multi-Agent Systems and Negotiation (29 papers). Fangzhen Lin is often cited by papers focused on Logic, Reasoning, and Knowledge (64 papers), Logic, programming, and type systems (35 papers) and Multi-Agent Systems and Negotiation (29 papers). Fangzhen Lin collaborates with scholars based in Hong Kong, China and Canada. Fangzhen Lin's co-authors include Yuting Zhao, Hector J. Levesque, Raymond Reiter, Richard B. Scherl, Yves Lespérance, Yoav Shoham, Ray Reiter, Pingzhong Tang, Yisong Wang and Yannan Chen and has published in prestigious journals such as Radiology, Artificial Intelligence and Medicine.

In The Last Decade

Fangzhen Lin

93 papers receiving 1.7k citations

Hit Papers

GOLOG: A logic programming language for dynamic domains 1997 2026 2006 2016 1997 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fangzhen Lin Hong Kong 20 1.7k 334 225 133 71 96 1.9k
Nina Narodytska Australia 14 575 0.3× 147 0.4× 158 0.7× 73 0.5× 129 1.8× 53 819
Michael Wooldridge United Kingdom 9 705 0.4× 92 0.3× 154 0.7× 99 0.7× 267 3.8× 14 930
Chunnian Liu China 14 322 0.2× 140 0.4× 102 0.5× 233 1.8× 40 0.6× 90 711
YongSeog Kim United States 8 939 0.5× 46 0.1× 135 0.6× 146 1.1× 181 2.5× 10 1.2k
Chiara Ghidini Italy 13 590 0.3× 63 0.2× 162 0.7× 257 1.9× 67 0.9× 82 802
Wamberto Vasconcelos United Kingdom 16 533 0.3× 40 0.1× 126 0.6× 160 1.2× 117 1.6× 84 706
Tyler Lu Canada 14 418 0.2× 122 0.4× 111 0.5× 76 0.6× 366 5.2× 27 856
Francesco Buccafurri Italy 16 502 0.3× 65 0.2× 345 1.5× 360 2.7× 27 0.4× 104 972
Jörg Hoffmann Germany 16 832 0.5× 136 0.4× 286 1.3× 220 1.7× 21 0.3× 105 1.0k
Yuming Ou Australia 9 351 0.2× 41 0.1× 68 0.3× 185 1.4× 58 0.8× 32 564

Countries citing papers authored by Fangzhen Lin

Since Specialization
Citations

This map shows the geographic impact of Fangzhen Lin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Fangzhen Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fangzhen Lin more than expected).

Fields of papers citing papers by Fangzhen Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fangzhen Lin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Fangzhen Lin. The network helps show where Fangzhen Lin may publish in the future.

Co-authorship network of co-authors of Fangzhen Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Fangzhen Lin. A scholar is included among the top collaborators of Fangzhen Lin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fangzhen Lin. Fangzhen Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Jiyao, Zijie Chen, Yijia Zhang, Dengbo He, & Fangzhen Lin. (2023). Preciser comparison: Augmented multi-layer dynamic contrastive strategy for text2text question classification. Neurocomputing. 544. 126299–126299. 1 indexed citations
2.
Chen, Lijie, et al.. (2017). K-Memory Strategies in Repeated Games. Adaptive Agents and Multi-Agents Systems. 2. 1493–1498. 4 indexed citations
3.
Lin, Fangzhen, et al.. (2015). Characterizing causal action theories and their implementations in answer set programming: action languages B, C and beyond. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3285–3291.
4.
Lin, Fangzhen. (2014). A First-Order Semantics for Golog and ConGolog under a Second-Order Induction Axiom for Situations. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 39. 3 indexed citations
5.
Tang, Pingzhong, Yoav Shoham, & Fangzhen Lin. (2009). Team competition. Adaptive Agents and Multi-Agents Systems. 241–248. 1 indexed citations
6.
Lin, Fangzhen & Yisong Wang. (2008). Answer set programming with functions. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 454–464. 13 indexed citations
7.
Lin, Fangzhen. (2008). Proving goal achievability. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 621–628. 3 indexed citations
8.
Lin, Fangzhen. (2007). Finitely-Verifiable Classes of Sentences. National Conference on Artificial Intelligence. 89–94. 4 indexed citations
9.
Lin, Fangzhen. (2004). Discovering state invariants. Principles of Knowledge Representation and Reasoning. 536–544. 17 indexed citations
10.
Lin, Fangzhen, et al.. (2004). On odd and even cycles in normal logic programs. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 80–85. 12 indexed citations
11.
Lin, Fangzhen, et al.. (2003). On tight logic programs and yet another translation from normal logic programs to propositional logic. International Joint Conference on Artificial Intelligence. 853–858. 26 indexed citations
12.
Lin, Fangzhen. (2002). Reducing Strong Equivalence of Logic Programs to Entailment in Classical Propositional Logic. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 170–176. 40 indexed citations
13.
Lin, Fangzhen & Yuting Zhao. (2002). ASSAT: computing answer sets of a logic program by SAT solvers. National Conference on Artificial Intelligence. 112–117. 58 indexed citations
14.
Lin, Fangzhen. (2001). A Planner Called R. AI Magazine. 22(3). 73–76. 11 indexed citations
15.
Lin, Fangzhen. (1998). On Measuring Plan Quality (A Preliminary Report).. Principles of Knowledge Representation and Reasoning. 224–233. 3 indexed citations
16.
Lin, Fangzhen. (1996). Embracing causality in specifying the effects of indeterminate actions. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3 indexed citations
17.
Lin, Fangzhen. (1995). Embracing causality in specifying the indirect effects of actions. International Joint Conference on Artificial Intelligence. 1985–1991. 106 indexed citations
18.
Lin, Fangzhen & Yoav Shoham. (1991). Provably Correct Theories of Action (Preliminary Report).. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 349–354. 23 indexed citations
19.
Lin, Fangzhen & Yoav Shoham. (1990). Epistemic Semantics for Fixed-Points Non-Monotonic Logics. 111–120. 29 indexed citations
20.
Lin, Fangzhen & Yoav Shoham. (1989). Argument Systems: A Uniform Basis for Nonmonotonic Reasoning.. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 245–255. 68 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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